Durojaiye Ashimiyu, Fackler James, McGeorge Nicolette, Webster Kristen, Kharrazi Hadi, Gurses Ayse
Armstrong Institute Center for Health Care Human Factors, Johns Hopkins University, Baltimore, MD, United States.
Division of Pediatric Anesthesiology and Critical Care Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
J Med Internet Res. 2022 Feb 4;24(2):e30351. doi: 10.2196/30351.
The care of pediatric trauma patients is delivered by multidisciplinary care teams with high fluidity that may vary in composition and organization depending on the time of day.
This study aims to identify and describe diurnal variations in multidisciplinary care teams taking care of pediatric trauma patients using social network analysis on electronic health record (EHR) data.
Metadata of clinical activities were extracted from the EHR and processed into an event log, which was divided into 6 different event logs based on shift (day or night) and location (emergency department, pediatric intensive care unit, and floor). Social networks were constructed from each event log by creating an edge among the functional roles captured within a similar time interval during a shift. Overlapping communities were identified from the social networks. Day and night network structures for each care location were compared and validated via comparison with secondary analysis of qualitatively derived care team data, obtained through semistructured interviews; and member-checking interviews with clinicians.
There were 413 encounters in the 1-year study period, with 65.9% (272/413) and 34.1% (141/413) beginning during day and night shifts, respectively. A single community was identified at all locations during the day and in the pediatric intensive care unit at night, whereas multiple communities corresponding to individual specialty services were identified in the emergency department and on the floor at night. Members of the trauma service belonged to all communities, suggesting that they were responsible for care coordination. Health care professionals found the networks to be largely accurate representations of the composition of the care teams and the interactions among them.
Social network analysis was successfully used on EHR data to identify and describe diurnal differences in the composition and organization of multidisciplinary care teams at a pediatric trauma center.
儿科创伤患者的护理由多学科护理团队提供,这些团队流动性高,其组成和组织可能因一天中的时间不同而有所变化。
本研究旨在利用电子健康记录(EHR)数据进行社会网络分析,识别和描述照顾儿科创伤患者的多学科护理团队的昼夜变化。
从EHR中提取临床活动的元数据,并处理成事件日志,该日志根据班次(白天或晚上)和地点(急诊科、儿科重症监护病房和病房楼层)分为6个不同的事件日志。通过在一个班次的相似时间间隔内捕获的功能角色之间创建边,从每个事件日志构建社会网络。从社会网络中识别出重叠社区。通过与通过半结构化访谈获得的定性护理团队数据的二次分析结果进行比较,以及与临床医生进行成员核对访谈,对每个护理地点的白天和晚上网络结构进行比较和验证。
在为期1年的研究期间共有413次诊疗,其中分别有65.9%(272/413)和34.1%(141/413)在白天和晚上班次开始。白天在所有地点以及晚上在儿科重症监护病房都识别出一个单一社区,而晚上在急诊科和病房楼层识别出对应各个专科服务的多个社区。创伤服务团队的成员属于所有社区,这表明他们负责护理协调。医疗保健专业人员发现这些网络在很大程度上准确反映了护理团队的组成及其之间的互动。
社会网络分析成功应用于EHR数据,以识别和描述儿科创伤中心多学科护理团队在组成和组织上的昼夜差异。